Generalized Additive Models: Allowing for some wiggle room in your models
Generalized additive models (GAMs) have become an important tool for modeling data flexibly. These models are generalized linear models where the outcome variable depends on unknown smooth functions of some predictor variables, and ... The post Generalized Additive Models: Allowing for some wiggle room in your models first appeared on R-bloggers.
http://dlvr.it/RzT8DB
http://dlvr.it/RzT8DB

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